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.gitignore

@@ -136,9 +136,3 @@ dmypy.json
 *.swp
 *.swo
 
-# Project specific
-out/
-assets/SMPL/SMPL_NEUTRAL.pkl
-assets/nova-in-action.mp4
-assets/SMPLX/SMPLX_NEUTRAL.npz
-assets/SMPLX/SMPLX_NEUTRAL.pkl

assets/SMPLX/SMPLX_NEUTRAL.npz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43d8f3a1375d7c5baae207870a5d51def0f7e6b507df709b4937598b5e7d965d
+size 137106406

tools/convert_bones_seed_soma_uniform.sh

@@ -1,7 +1,7 @@
 #!/usr/bin/env bash
 
-DATASET_ROOT="${1:-./bones-seed/soma_uniform}"
-OUTPUT_ROOT="${2:-./bones-seed-smplx/soma_uniform_30fps}"
+DATASET_ROOT="${1:-../../bones-seed/soma_uniform}"
+OUTPUT_ROOT="${2:-../../bones-seed-smplx/soma_uniform_30fps}"
 
 python -m tools.batch_soma2smpl \
   --dataset-root "$DATASET_ROOT" \

tools/download_bones_seed_soma_uniform.sh

@@ -1,18 +1,6 @@
-#!/usr/bin/env bash
-
-OUT_DIR="${1:-./bones-seed}"
-REPO_ID="${BONES_SEED_REPO_ID:-bones-studio/seed}"
-
-
-mkdir -p "$OUT_DIR"
-
 hf download \
   --repo-type dataset \
-  --local-dir "$OUT_DIR" \
+  --local-dir ./bones-seed \
   --include "soma_shapes/soma_base_fit_mhr_params.npz" \
   --include "soma_uniform.tar.gz" \
-  "$REPO_ID"
-
-echo "Downloaded BONES-SEED SOMA Uniform files to: $OUT_DIR"
-echo "Extract with:"
-echo "  tar -xzf \"$OUT_DIR/soma_uniform.tar.gz\" -C \"$OUT_DIR\""
+  bones-studio/seed

tools/requirements_soma_convert.txt

@@ -1,6 +1,10 @@
 # Install PyTorch separately for the server CUDA version, for example:
 #   python -m pip install torch --index-url https://download.pytorch.org/whl/cu124
-#
+#   python -m pip install -U pip setuptools wheel
+
+# python -m pip install --no-build-isolation chumpy
+# python -m pip install -r requirements_soma_convert.txt
+
 # Then install this repo from SOMA-X root:
 #   python -m pip install -e ".[smpl]"
 #

tools/soma2smpl.py

@@ -243,7 +243,12 @@ def _parse_bvh(path: Path, device: torch.device, subsample: int, max_frames: int
 def _load_bones_shape(dataset_root: Path):
     shape_path = dataset_root.parent / "soma_shapes" / "soma_base_fit_mhr_params.npz"
     if not shape_path.exists():
-        shape_path = Path("/home/ziro/workspace/experimental/bones-seed/soma_shapes/soma_base_fit_mhr_params.npz")
+        raise FileNotFoundError(
+            "Missing BONES-SEED SOMA Uniform shape file. Expected: "
+            f"{shape_path}. Download it with "
+            "`hf download --repo-type dataset --local-dir <bones-seed> "
+            "--include soma_shapes/soma_base_fit_mhr_params.npz bones-studio/seed`."
+        )
     return np.load(shape_path)